There is also the possibility of accelerating progress within the field with richer paradigms of supervision as well as learning that is less dependent on supervision. Cases of richer supervision include teaching-by-demonstration where the ability to tie language to procedural tasks could unlock potential for conversational systems to help truly bring about the Natural User Interface (NUI). It also includes extending machine teaching to dialog-based interaction [1]}, [2]}. Reducing the dependency on supervision includes research trends into large neural language models that are providing progress toward few-shot and zero-shot learning in many language-related tasks and increasingly in conversational and search tasks.
